{"id":"W2924669217","doi":"10.3138/cjccj.2018-0020","title":"Deterring Driving under the Influence of Cannabis: Knowledge and Beliefs of Drivers in a Remedial Program","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Criminology and Criminal Justice/La Revue canadienne de criminologie et de justice pénale","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Health Canada; Centre for Addiction and Mental Health","funders":"","keywords":"Legalization; Remedial education; Cannabis; Law enforcement; Legislation; Driving under the influence; Decriminalization; Thematic analysis; Enforcement; Psychology; Zero tolerance; Applied psychology; Poison control; Computer security; Criminology; Human factors and ergonomics; Political science; Law; Environmental health; Medicine; Qualitative research; Psychiatry; Sociology; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003462573,0.0001989404,0.0004352995,0.0009997193,0.004202174,0.002849693,0.0009464478,0.000979186,0.001946292],"category_scores_gemma":[0.008751541,0.0003975654,0.0002748813,0.0007813512,0.003726537,0.001898051,0.002103999,0.002186973,0.0001715864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005825533,"about_ca_system_score_gemma":0.01114799,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4013066,"about_ca_topic_score_gemma":0.4317386,"domain_scores_codex":[0.9980618,0.0005762189,0.0000892099,0.0001448362,0.0005459164,0.0005820496],"domain_scores_gemma":[0.9951827,0.001704874,0.001015409,0.0001069287,0.0009357054,0.001054425],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0000849209,0.0005482443,0.3413781,0.0001640018,0.00003237661,0.0005314866,0.6375532,0.00005570401,0.0008255068,0.0006099305,0.0007588909,0.01745771],"study_design_scores_gemma":[0.00001257861,0.0002156274,0.1703532,0.0002036213,0.00003449294,0.0002149683,0.8241651,0.0002850568,0.0002230293,0.0002974123,0.00395146,0.00004344734],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982715,0.0001213413,0.00004770142,0.0006593434,0.000005645983,0.00001425178,0.00001101176,9.018611e-7,0.000868334],"genre_scores_gemma":[0.9990553,0.0002448945,0.00004737817,0.0002519205,0.000003193036,0.000007308111,0.00001163833,0.000001355611,0.0003768861],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5986934,"threshold_uncertainty_score":0.7979414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04880332807672688,"score_gpt":0.3237627449320533,"score_spread":0.2749594168553264,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}